Title :
Reliability sampling plans for lognormal distribution, based on progressively-censored samples
Author :
Balasooriya, Uditha ; Balakrishnan, N.
Author_Institution :
Dept. of Stat. & Appl. Probability, Nat. Univ. of Singapore, Singapore
fDate :
6/1/2000 12:00:00 AM
Abstract :
This paper presents reliability sampling plans for the lognormal distribution based on progressively censored samples. In constructing these sampling plans, large-sample approximations to the best linear unbiased estimators of the location and scale parameters are used. For some selected progressive censoring schemes, reliability sampling plans are tabulated for pα and pβ to match MIL-STD-105. While in general, variable-sampling plans require smaller sample size when compared with attribute-sampling plans, the ordinary complete and right-censored life test experiments are special cases of the progressively censored experiment. Hence, the progressively censored reliability sampling plans in this paper are widely applicable. General application of the procedure is discussed, and two examples are provided
Keywords :
life testing; log normal distribution; reliability; sampling methods; α-normal distribution; MIL-STD-105; acceptance sampling; approximate moment of order statistic; best linear unbiased estimation; best linear unbiased estimators; large-sample approximations; lognormal distribution; progressively-censored samples; reliability sampling plans; right-censored life test experiments; selected progressive censoring schemes; type II progressive censoring; variable-sampling plans; Councils; Life estimation; Life testing; Maximum likelihood estimation; Parameter estimation; Personal communication networks; Probability; Sampling methods; Statistical distributions; Statistics;
Journal_Title :
Reliability, IEEE Transactions on
